Monte Carlo Concrete DropPath for epistemic uncertainty estimation in pollen images classification

The paper presents the results of a new method for training the NASNet neural network called Monte Carlo Concrete DropPath for epistemic uncertainty estimation to classify pollen images. The developed method is compared with existing methods for epistemic uncertainty estimation. The method turns an...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолч:	Natalia E. Khanzhina
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	ITMO University 2021-12-01
Цуврал:	Научно-технический вестник информационных технологий, механики и оптики
Нөхцлүүд:	bayesian deep learning variational inference epistemic uncertainty pollen recognition image recognition uncertainty estimation
Онлайн хандалт:	https://ntv.ifmo.ru/file/article/20900.pdf
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!